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Predictive value of XPG rs2296147T>C polymorphism on clinical outcomes of cancer patients.

ABSTRACT: The Xeroderma pigmentosum complementation group G (XPG) rs2296147T>C polymorphism is suspected to associate with the clinical outcomes of cancer patients. However, the results are inconsistent. This meta-analysis aimed to evaluate the reliable predictive value of XPG rs2296147T>C polymorphism on clinical outcomes of cancer patients. A total of 11 eligible studies were enrolled in this meta-analysis. Our results indicated that the cancer patients with TT and CT genotypes were significantly associated with better respond rates when compared with the CC genotype (TT versus (vs.) CC: odds ratio (OR) = 2.05, 95% confidence intervals (CIs), 1.32-3.20, P = 0.002; TT+CT vs. CC: OR= 1.57, 95% CI, 1.14-2.17, P = 0.005). The TT genotype and/or T allele might be associated with higher survival time for cancer patients than the CC genotype and/or C allele. The cumulative meta-analyses showed an apparent beneficial objective response of TT genotype on cancer patients. In conclusion, this meta-analysis suggests that the XPG rs2296147T>C polymorphism is associated with the clinical outcomes of cancer patients. The XPG rs2296147T>C polymorphism might be a predictive factor of prognosis in cancers patients and contribute to individual treatment in the future.

SUBMITTER: Wang Y

PROVIDER: S-EPMC5323191 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

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Predictive value of XPG rs2296147T>C polymorphism on clinical outcomes of cancer patients.

Wang Yuhan Y Han Yingying Y Weng Qiang Q Yuan Zhengrong Z

Oncotarget 20161001 40

The Xeroderma pigmentosum complementation group G (XPG) rs2296147T>C polymorphism is suspected to associate with the clinical outcomes of cancer patients. However, the results are inconsistent. This meta-analysis aimed to evaluate the reliable predictive value of XPG rs2296147T>C polymorphism on clinical outcomes of cancer patients. A total of 11 eligible studies were enrolled in this meta-analysis. Our results indicated that the cancer patients with TT and CT genotypes were significantly associ ...[more]

PMID: 27588464

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Project description:AimsTo explore the association of total bilirubin (TBIL), direct bilirubin (DBIL), and indirect bilirubin (IBIL) levels with, as well as the incremental predictive value of different bilirubin subtypes for, poor outcomes in acute ischemic stroke patients after thrombolysis.MethodsWe analyzed 588 individuals out of 718 AIS participants, and all patients were followed up at 3 months after thrombolysis. The primary outcome was 3-month death and major disability (modified Rankin Scale (mRS) score of 3-6). The secondary outcomes were 3-month mortality (mRS score of 6), moderate-severe cerebral edema, and symptomatic intracranial hemorrhage (sICH), respectively.ResultsElevated DBIL pre-thrombolysis was associated with an increased risk of primary outcome (OR 3.228; 95% CI 1.595-6.535; p for trend = 0.014) after fully adjustment. Elevated TBIL pre-thrombolysis showed the similar results (OR 2.185; 95% CI 1.111-4.298; p for trend = 0.047), while IBIL pre-thrombolysis was not significantly associated with primary outcome (OR 1.895; 95% CI 0.974-3.687; p for trend = 0.090). Multivariable-adjusted spline regression model showed a positive linear dose-response relationship between DBIL pre-thrombolysis and risk of primary outcome (p for linearity = 0.004). Adding DBIL pre-thrombolysis into conventional model had greater incremental predictive value for primary outcome, with net reclassification improvement (NRI) 95% CI = 0.275 (0.084-0.466) and integrated discrimination improvement (IDI) 95% CI = 0.011 (0.001-0.024). Increased DBIL post-thrombolysis had an association with primary outcome (OR 2.416; 95%CI 1.184-4.930; p for trend = 0.039), and it also elevated the incremental predictive value for primary outcome, with NRI (95% CI) = 0.259 (0.066-0.453) and IDI (95% CI) = 0.025 (0.008-0.043).ConclusionIncreased DBIL pre-thrombolysis had a stronger association with, as well as greater incremental predictive value for, poor outcomes than TBIL and IBIL did in AIS patients after thrombolysis, which should be understood in the context of retrospective design. The effect of DBIL on targeted populations should be investigated in further researches.

Dataset Information

Predictive value of XPG rs2296147T>C polymorphism on clinical outcomes of cancer patients.

Publications

Predictive value of XPG rs2296147T>C polymorphism on clinical outcomes of cancer patients.

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